Workflow-Driven Ontologies: An Earth Sciences Case Study

Authors:
Leonardo Salayandia;Paulo Pinheiro da Silva;Ann Q. Gates;Flor Salcedo
Affiliations:
The University of Texas at El Paso, USA;The University of Texas at El Paso, USA;The University of Texas at El Paso, USA;The University of Texas at El Paso, USA
Venue:
E-SCIENCE '06 Proceedings of the Second IEEE International Conference on e-Science and Grid Computing
Year:
2006

Citing 0
Cited 8

A novel domain oriented approach for scientific grid workflow composition

Proceedings of the 2008 ACM/IEEE conference on Supercomputing
Scientific workflow design for mere mortals

Future Generation Computer Systems
Indirectly driven knowledge modelling in ecology

International Journal of Metadata, Semantics and Ontologies
The gravity data ontology: laying the foundation for workflow-driven ontologies

GeoS'07 Proceedings of the 2nd international conference on GeoSpatial semantics
On the use of abstract workflows to capture scientific process provenance

TAPP'10 Proceedings of the 2nd conference on Theory and practice of provenance
Knowledge annotations in scientific workflows: an implementation in Kepler

SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
Documenting and sharing scientific research over the semantic web

Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies
Supporting Scientific Collaboration: Methods, Tools and Concepts

Computer Supported Cooperative Work

Quantified Score

Hi-index	0.00

Visualization

Abstract

A goal of the Geosciences Network (GEON) is to develop cyber-infrastructure that will allow earth scientists to discover access, integrate and disseminate knowledge in distributed environments such as the Web, changing the way in which research is conducted. The earth sciences community has begun the complex task of creating ontologies to support this effort. A challenge is to coalesce the needs of the earth scientists, who wish to capture knowledge in a particular discipline through the ontology, with the need to leverage the knowledge to support technology that will facilitate computation, for example, by helping the composition of services. This paper describes an approach for defining workflow-driven ontologies that capture classes and relationships from domain experts and use that knowledge to support composition of services. To demonstrate the capability afforded by this type of ontology, the paper presents examples of workflow specifications generated from a workflow-driven ontology that has been defined for representing knowledge about gravity data.